Esophageal cancer is a unique and complex heterogeneous malignancy, with substantial
tumor heterogeneity: at the cellular levels, tumors are composed of tumor and stromal …

Influenced by ChatGPT, artificial intelligence (AI) large models have witnessed a global
upsurge in large model research and development. As people enjoy the convenience by this …

Integrating the brain structural and functional connectivity features is of great significance in
both exploring brain science and analyzing cognitive impairment clinically. However, it …

Radiation therapy is the primary treatment for recurrent nasopharyngeal carcinoma.
However, it may induce necrosis of the nasopharynx, leading to severe complications such …

This study led to the development of a variational autoencoder (VAE) for estimating the
chronological age of subjects using feature values extracted from their teeth. Further, it …

Hippocampus has great influence over the Alzheimer's disease (AD) research because of its
essential role as a biomarker in the human brain. Thus the performance of hippocampus …

Brain tumors are threatening the life and health of people in the world. Automatic brain tumor
segmentation using multiple MR images is challenging in medical image analysis. It is …

B-mode ultrasound (BUS) mainly reflects the tissue structural, morphological, and echo
characteristics of liver tumors, and contrast-enhanced ultrasound (CEUS) offers …

Accurately predicting survival of esophageal cancer is essential for clinical precision
treatment. However, the existing region of interest (ROI) based methods not only require …

Schizophrenia (SCZ) is a multifactorial mental illness, thus it will be beneficial for exploring
this disease using multimodal data, including functional magnetic resonance imaging (fMRI) …